An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.

Journal: The Lancet. Digital health
PMID: 34167765

Abstract

BACKGROUND: Biparametric MRI (comprising T2-weighted MRI and apparent diffusion coefficient maps) is increasingly being used to characterise prostate cancer. Although previous studies have combined Prostate Imaging-Reporting & Data System (PI-RADS)-based MRI findings with routinely available clinical variables and with deep learning-based imaging predictors, respectively, for prostate cancer risk stratification, none have combined all three. We aimed to construct an integrated nomogram (referred to as ClaD) combining deep learning-based imaging predictions, PI-RADS scoring, and clinical variables to identify clinically significant prostate cancer on biparametric MRI.

Authors

  • Amogh Hiremath
    Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA. axh672@case.edu.
  • Rakesh Shiradkar
    Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
  • Pingfu Fu
    Department of Biomedical Engineering, Case Western Reserve University School of Engineering, 2071 Martin Luther King Dr, Cleveland, OH 44106-7207 (M. Khorrami, K.B., A.M.); Departments of Internal Medicine (M. Khunger) and Solid Tumor Oncology (A.Z., P.P.), Cleveland Clinic, Cleveland, Ohio; Department of Internal Medicine, Maimonides Medical Center, Brooklyn, NY (R.T.); Department of Radiology, UT Southwestern Medical Center, Dallas, Tex (P.R.); Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio (P.F.); Department of Hematology and Oncology, New York University, New York, NY (V.V.); Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A.M.).
  • Amr Mahran
    Department of Urology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Ardeshir R Rastinehad
    Department of Radiology, Icahn School of Medicine at Mount Sinai, Manhattan, New York, USA.
  • Ashutosh Tewari
    Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Sree Harsha Tirumani
    Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Andrei Purysko
    Department of Radiology and Nuclear Medicine, Cleveland Clinic, Cleveland, OH, USA.
  • Lee Ponsky
    University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center, Cleveland, Ohio.
  • Anant Madabhushi
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

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